
Calm productivity for academics
This site is now an archive of my previous work. I have moved all my ongoing writing to https://michael-rowe.github.io/home-michael/
Most approaches to AI for academics stop at prompting techniques. But the academics most comfortable with AI have progressed through three stages: substitution, adaptation, and transformation. This progression develops context sovereignty and professional taste—capabilities that turn AI from occasional tool into integrated professional practice. Here’s how to move beyond mere prompting and integrate AI use…
A lot of academic work seems to exist purely to compensate for broken institutional systems. When your primary function is forwarding emails, duplicating data, or routing queries, you’re not adding value—you’re revealing systemic dysfunction. Personal productivity strategies can’t fix organisational failures, and acknowledging these patterns is the essential first step.